Read me

The web-server MycoMemSVM was developed to identify mycobacterial membrane proteins and their types based on the over represented tripeptide compositions. The binomial distribution was used to find out over represented tripeptide. The anticipated overall success rates are 93.0% in discriminating between mycobacterial membrane proteins and mycobcaterial non-membrane proteins and 93.1% in the prediction of mycobacterial membrane protein types by using jackknife cross-validation. All data can be downloaded from the Data window of this web-server.



(1) For each submission, the number of protein sequences is limited at 100 or less;

(2) The input sequences must be in FASTA format; i.e., each protein sequence should start with a greater-than symbol (" > ") in the first column. The words right after the " > " symbol in the single initial line are optional and only used for the purpose of identification and description.

(3) If a query sequence contains any illegal character, wrong results will be obtained.